On 13 January 2013 20:05, <subhabangal...@gmail.com> wrote: > Dear Group, > > I have two questions, if I take a subseries of the matrix as in eigenvalue > here, > provided I have one graph of the full form in G, how may I show it, as if I > do the nx.draw(G) it takes only the original graph.
I'm sorry, but I really don't understand what you mean. When you say "subseries" do you mean "subgraph"? Or do you mean a subset of the eigenvalues? It would be good if you could give a simple example of what you mean using code and showing the expected/desired output. > >>>> import numpy >>>> import networkx as nx >>>> import matplotlib.pyplot as plt >>>> G=nx.Graph() >>>> G.add_edges_from([(1,2),(1,3),(1,3),(1,4),(1,5),(1,6),(1,7),(1,8)]) >>>> L =nx.laplacian(G) >>>> print L > [[ 7. -1. -1. -1. -1. -1. -1. -1.] > [-1. 1. 0. 0. 0. 0. 0. 0.] > [-1. 0. 1. 0. 0. 0. 0. 0.] > [-1. 0. 0. 1. 0. 0. 0. 0.] > [-1. 0. 0. 0. 1. 0. 0. 0.] > [-1. 0. 0. 0. 0. 1. 0. 0.] > [-1. 0. 0. 0. 0. 0. 1. 0.] > [-1. 0. 0. 0. 0. 0. 0. 1.]] >>>> print numpy.linalg.eigvals(L) > [ 8.00000000e+00 2.22044605e-16 1.00000000e+00 1.00000000e+00 > 1.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00] > > for more than 1000 nodes it is coming too slow on Windows 7 machine with 3GB > RAM. What is too slow? Oscar -- http://mail.python.org/mailman/listinfo/python-list
